{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from keras.optimizers import Adam\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from matplotlib import cm\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tensorflow.keras.utils import plot_model\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel('D:/Denoising/Autoencoder/LSTM_SAE/RawData/Gold.xlsx')\n",
    "#df = df[-310:-60]\n",
    "df = df[-250:]\n",
    "scaler = MinMaxScaler()\n",
    "scaled = scaler.fit_transform(df[['종가']])\n",
    "df[\"Close\"] = scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Load\n",
    "paht = 'D:/Denoising/Autoencoder/LSTM_SAE/RawData/Samsung.txt'\n",
    "def Data_Load(path):\n",
    "    global df\n",
    "    df = pd.read_csv(path, sep = ',')\n",
    "    scaler = MinMaxScaler()\n",
    "    scaled = scaler.fit_transform(df[['CLOSE']])\n",
    "    df[\"Close\"] = scaled\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Slice_Window(size):\n",
    "    global window_list, x_train, x_test, y_train, y_test\n",
    "    window_list = np.zeros((len(df)-size+1,size,1))\n",
    "    count = 0\n",
    "    for i in range(len(df)-size+1):\n",
    "        end_idx = i+size\n",
    "        dff = df[i:end_idx]\n",
    "        dff.reset_index(inplace = True)\n",
    "        if len(dff)>=size:\n",
    "            for j in range(size):\n",
    "                window_list[count][j][0] = dff[\"Close\"][j]            \n",
    "            count += 1\n",
    "    \n",
    "    # Split Train and Test Set\n",
    "    x_train, x_test, y_train, y_test = train_test_split(window_list, window_list, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Build_Model():\n",
    "    global model\n",
    "    model = keras.Sequential()\n",
    "\n",
    "    timestamp = window_list.shape[1]\n",
    "    features = window_list.shape[2]\n",
    "\n",
    "    # Encoder LSTM cell1\n",
    "    model.add(keras.layers.LSTM(units=20, input_shape=(timestamp, features), return_sequences = True))\n",
    "    model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "    # Encoder LSTM cell2\n",
    "    model.add(keras.layers.LSTM(units=15, return_sequences=True))\n",
    "    model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "    # Encoder LSTM cell3\n",
    "    model.add(keras.layers.LSTM(units=10, return_sequences=False))\n",
    "    model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "    model.add(keras.layers.RepeatVector(timestamp))\n",
    "\n",
    "    # Decoder LSTM cell1\n",
    "    model.add(keras.layers.LSTM(units=10, return_sequences=True))\n",
    "    model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "    # Decoder LSTM cell2\n",
    "    model.add(keras.layers.LSTM(units=15, return_sequences=True))\n",
    "    model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "    # Decoder LSTM cell3\n",
    "    model.add(keras.layers.LSTM(units=20, return_sequences=True))\n",
    "    model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "    model.add(keras.layers.TimeDistributed(keras.layers.Dense(features)))\n",
    "    model.compile(loss='mse', optimizer = Adam(learning_rate = 0.0001))\n",
    "\n",
    "    return model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If write '1' then see the progress of the training\n",
    "def Train(vb): \n",
    "    global history\n",
    "    if vb == 1:\n",
    "        history = model.fit(x_train, y_train, epochs=500, batch_size=10,validation_split=0.1, verbose = 1, shuffle=True)\n",
    "    else:\n",
    "        history = model.fit(x_train, y_train, epochs=500, batch_size=10,validation_split=0.1, verbose = 0, shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Output(show, size):\n",
    "    global mean_list, mean_list2\n",
    "    \n",
    "    # Predict\n",
    "    pred = model.predict(window_list)\n",
    "    \n",
    "    # Sum all window size units\n",
    "    mean_list = [0 for i in range(len(df))]\n",
    "    for i in range(len(window_list)):\n",
    "        for j in range(size):\n",
    "            mean_list[i+j] += pred[i][j]\n",
    "\n",
    "    # Calculate average\n",
    "    mean_list2= []\n",
    "    count = size-1\n",
    "    for i in range(len(mean_list)):\n",
    "        if i < size:\n",
    "            mean_list2.append(mean_list[i] / (i+1))\n",
    "        elif i >= size and (i <= len(mean_list)-size):\n",
    "            mean_list2.append(mean_list[i] / size)\n",
    "        else:\n",
    "            mean_list2.append(mean_list[i] / count)\n",
    "            count -= 1\n",
    "\n",
    "    # If value is equal 1, then Show the plot\n",
    "    if show == 1:\n",
    "        price = list(df[\"Close\"])\n",
    "        plt.figure(figsize = (15,10))\n",
    "        plt.plot(mean_list2, label = 'denoised')\n",
    "        plt.plot(price, label = 'origin')\n",
    "        plt.grid()\n",
    "        plt.legend(loc ='upper right')\n",
    "        plt.xlabel('Time')\n",
    "        plt.ylabel('Price')\n",
    "        plt.show()\n",
    "    else:\n",
    "        print('Complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Check Output MAE\n",
    "def Check_MAE():\n",
    "    global total_mae, total_mae2\n",
    "    total_mae = 0\n",
    "    total_mae2 = 0\n",
    "    price = list(df[\"Close\"])\n",
    "    for i in range(len(mean_list2)):\n",
    "        mae = np.abs(price[i] - mean_list2[i])\n",
    "        total_mae += mae\n",
    "    total_mae2 = total_mae / len(mean_list2)*100\n",
    "    return total_mae2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MARKET</th>\n",
       "      <th>NAME</th>\n",
       "      <th>SYMBOL</th>\n",
       "      <th>DATEDEAL</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>DIFF</th>\n",
       "      <th>VOLUME</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>25200</td>\n",
       "      <td>25200</td>\n",
       "      <td>24100</td>\n",
       "      <td>24100</td>\n",
       "      <td>-4.37</td>\n",
       "      <td>306939</td>\n",
       "      <td>0.023072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>24040</td>\n",
       "      <td>24360</td>\n",
       "      <td>23720</td>\n",
       "      <td>24160</td>\n",
       "      <td>0.25</td>\n",
       "      <td>216002</td>\n",
       "      <td>0.023949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2016-01-06</td>\n",
       "      <td>24160</td>\n",
       "      <td>24160</td>\n",
       "      <td>23360</td>\n",
       "      <td>23500</td>\n",
       "      <td>-2.73</td>\n",
       "      <td>366752</td>\n",
       "      <td>0.014311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>23320</td>\n",
       "      <td>23660</td>\n",
       "      <td>23020</td>\n",
       "      <td>23260</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>282388</td>\n",
       "      <td>0.010806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2016-01-08</td>\n",
       "      <td>23260</td>\n",
       "      <td>23720</td>\n",
       "      <td>23260</td>\n",
       "      <td>23420</td>\n",
       "      <td>0.69</td>\n",
       "      <td>257763</td>\n",
       "      <td>0.013143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2021-12-24</td>\n",
       "      <td>80200</td>\n",
       "      <td>80800</td>\n",
       "      <td>80200</td>\n",
       "      <td>80500</td>\n",
       "      <td>0.75</td>\n",
       "      <td>12086380</td>\n",
       "      <td>0.846671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1471</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2021-12-27</td>\n",
       "      <td>80600</td>\n",
       "      <td>80600</td>\n",
       "      <td>79800</td>\n",
       "      <td>80200</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>10783368</td>\n",
       "      <td>0.842290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1472</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2021-12-28</td>\n",
       "      <td>80200</td>\n",
       "      <td>80400</td>\n",
       "      <td>79700</td>\n",
       "      <td>80300</td>\n",
       "      <td>0.12</td>\n",
       "      <td>18226325</td>\n",
       "      <td>0.843750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1473</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2021-12-29</td>\n",
       "      <td>80200</td>\n",
       "      <td>80200</td>\n",
       "      <td>78500</td>\n",
       "      <td>78800</td>\n",
       "      <td>-1.87</td>\n",
       "      <td>19794795</td>\n",
       "      <td>0.821846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1474</th>\n",
       "      <td>KOSPI</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>5930</td>\n",
       "      <td>2021-12-30</td>\n",
       "      <td>78900</td>\n",
       "      <td>79500</td>\n",
       "      <td>78100</td>\n",
       "      <td>78300</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>14236700</td>\n",
       "      <td>0.814544</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1475 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     MARKET  NAME  SYMBOL    DATEDEAL   OPEN   HIGH    LOW  CLOSE  DIFF  \\\n",
       "0     KOSPI  삼성전자    5930  2016-01-04  25200  25200  24100  24100 -4.37   \n",
       "1     KOSPI  삼성전자    5930  2016-01-05  24040  24360  23720  24160  0.25   \n",
       "2     KOSPI  삼성전자    5930  2016-01-06  24160  24160  23360  23500 -2.73   \n",
       "3     KOSPI  삼성전자    5930  2016-01-07  23320  23660  23020  23260 -1.02   \n",
       "4     KOSPI  삼성전자    5930  2016-01-08  23260  23720  23260  23420  0.69   \n",
       "...     ...   ...     ...         ...    ...    ...    ...    ...   ...   \n",
       "1470  KOSPI  삼성전자    5930  2021-12-24  80200  80800  80200  80500  0.75   \n",
       "1471  KOSPI  삼성전자    5930  2021-12-27  80600  80600  79800  80200 -0.37   \n",
       "1472  KOSPI  삼성전자    5930  2021-12-28  80200  80400  79700  80300  0.12   \n",
       "1473  KOSPI  삼성전자    5930  2021-12-29  80200  80200  78500  78800 -1.87   \n",
       "1474  KOSPI  삼성전자    5930  2021-12-30  78900  79500  78100  78300 -0.63   \n",
       "\n",
       "        VOLUME     Close  \n",
       "0       306939  0.023072  \n",
       "1       216002  0.023949  \n",
       "2       366752  0.014311  \n",
       "3       282388  0.010806  \n",
       "4       257763  0.013143  \n",
       "...        ...       ...  \n",
       "1470  12086380  0.846671  \n",
       "1471  10783368  0.842290  \n",
       "1472  18226325  0.843750  \n",
       "1473  19794795  0.821846  \n",
       "1474  14236700  0.814544  \n",
       "\n",
       "[1475 rows x 11 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data_Load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_4\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_24 (LSTM)              (None, 5, 20)             1760      \n",
      "                                                                 \n",
      " dropout_24 (Dropout)        (None, 5, 20)             0         \n",
      "                                                                 \n",
      " lstm_25 (LSTM)              (None, 5, 15)             2160      \n",
      "                                                                 \n",
      " dropout_25 (Dropout)        (None, 5, 15)             0         \n",
      "                                                                 \n",
      " lstm_26 (LSTM)              (None, 10)                1040      \n",
      "                                                                 \n",
      " dropout_26 (Dropout)        (None, 10)                0         \n",
      "                                                                 \n",
      " repeat_vector_4 (RepeatVect  (None, 5, 10)            0         \n",
      " or)                                                             \n",
      "                                                                 \n",
      " lstm_27 (LSTM)              (None, 5, 10)             840       \n",
      "                                                                 \n",
      " dropout_27 (Dropout)        (None, 5, 10)             0         \n",
      "                                                                 \n",
      " lstm_28 (LSTM)              (None, 5, 15)             1560      \n",
      "                                                                 \n",
      " dropout_28 (Dropout)        (None, 5, 15)             0         \n",
      "                                                                 \n",
      " lstm_29 (LSTM)              (None, 5, 20)             2880      \n",
      "                                                                 \n",
      " dropout_29 (Dropout)        (None, 5, 20)             0         \n",
      "                                                                 \n",
      " time_distributed_4 (TimeDis  (None, 5, 1)             21        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 10,261\n",
      "Trainable params: 10,261\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "Slice_Window(5)\n",
    "Build_Model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8/8 [==============================] - 0s 4ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check how much the predicted value changes when the same model and the same data are used.\n",
    "\n",
    "# Attempt several model training\n",
    "MAE_list = []\n",
    "for i in range(0,1):\n",
    "    Train(0)\n",
    "    Output(1,5)\n",
    "    MAE_list.append(Check_MAE())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_5\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_30 (LSTM)              (None, 20, 20)            1760      \n",
      "                                                                 \n",
      " dropout_30 (Dropout)        (None, 20, 20)            0         \n",
      "                                                                 \n",
      " lstm_31 (LSTM)              (None, 20, 15)            2160      \n",
      "                                                                 \n",
      " dropout_31 (Dropout)        (None, 20, 15)            0         \n",
      "                                                                 \n",
      " lstm_32 (LSTM)              (None, 10)                1040      \n",
      "                                                                 \n",
      " dropout_32 (Dropout)        (None, 10)                0         \n",
      "                                                                 \n",
      " repeat_vector_5 (RepeatVect  (None, 20, 10)           0         \n",
      " or)                                                             \n",
      "                                                                 \n",
      " lstm_33 (LSTM)              (None, 20, 10)            840       \n",
      "                                                                 \n",
      " dropout_33 (Dropout)        (None, 20, 10)            0         \n",
      "                                                                 \n",
      " lstm_34 (LSTM)              (None, 20, 15)            1560      \n",
      "                                                                 \n",
      " dropout_34 (Dropout)        (None, 20, 15)            0         \n",
      "                                                                 \n",
      " lstm_35 (LSTM)              (None, 20, 20)            2880      \n",
      "                                                                 \n",
      " dropout_35 (Dropout)        (None, 20, 20)            0         \n",
      "                                                                 \n",
      " time_distributed_5 (TimeDis  (None, 20, 1)            21        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 10,261\n",
      "Trainable params: 10,261\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "8/8 [==============================] - 3s 9ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Window Size 20, Data Length 250\n",
    "\n",
    "Slice_Window(20)\n",
    "Build_Model()\n",
    "Train(0)\n",
    "Output(1,20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_6\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_36 (LSTM)              (None, 10, 20)            1760      \n",
      "                                                                 \n",
      " dropout_36 (Dropout)        (None, 10, 20)            0         \n",
      "                                                                 \n",
      " lstm_37 (LSTM)              (None, 10, 15)            2160      \n",
      "                                                                 \n",
      " dropout_37 (Dropout)        (None, 10, 15)            0         \n",
      "                                                                 \n",
      " lstm_38 (LSTM)              (None, 10)                1040      \n",
      "                                                                 \n",
      " dropout_38 (Dropout)        (None, 10)                0         \n",
      "                                                                 \n",
      " repeat_vector_6 (RepeatVect  (None, 10, 10)           0         \n",
      " or)                                                             \n",
      "                                                                 \n",
      " lstm_39 (LSTM)              (None, 10, 10)            840       \n",
      "                                                                 \n",
      " dropout_39 (Dropout)        (None, 10, 10)            0         \n",
      "                                                                 \n",
      " lstm_40 (LSTM)              (None, 10, 15)            1560      \n",
      "                                                                 \n",
      " dropout_40 (Dropout)        (None, 10, 15)            0         \n",
      "                                                                 \n",
      " lstm_41 (LSTM)              (None, 10, 20)            2880      \n",
      "                                                                 \n",
      " dropout_41 (Dropout)        (None, 10, 20)            0         \n",
      "                                                                 \n",
      " time_distributed_6 (TimeDis  (None, 10, 1)            21        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 10,261\n",
      "Trainable params: 10,261\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "8/8 [==============================] - 3s 7ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Window Size 10, Data Length 250\n",
    "\n",
    "Slice_Window(10)\n",
    "Build_Model()\n",
    "Train(0)\n",
    "Output(1,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_7\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_42 (LSTM)              (None, 5, 20)             1760      \n",
      "                                                                 \n",
      " dropout_42 (Dropout)        (None, 5, 20)             0         \n",
      "                                                                 \n",
      " lstm_43 (LSTM)              (None, 5, 15)             2160      \n",
      "                                                                 \n",
      " dropout_43 (Dropout)        (None, 5, 15)             0         \n",
      "                                                                 \n",
      " lstm_44 (LSTM)              (None, 10)                1040      \n",
      "                                                                 \n",
      " dropout_44 (Dropout)        (None, 10)                0         \n",
      "                                                                 \n",
      " repeat_vector_7 (RepeatVect  (None, 5, 10)            0         \n",
      " or)                                                             \n",
      "                                                                 \n",
      " lstm_45 (LSTM)              (None, 5, 10)             840       \n",
      "                                                                 \n",
      " dropout_45 (Dropout)        (None, 5, 10)             0         \n",
      "                                                                 \n",
      " lstm_46 (LSTM)              (None, 5, 15)             1560      \n",
      "                                                                 \n",
      " dropout_46 (Dropout)        (None, 5, 15)             0         \n",
      "                                                                 \n",
      " lstm_47 (LSTM)              (None, 5, 20)             2880      \n",
      "                                                                 \n",
      " dropout_47 (Dropout)        (None, 5, 20)             0         \n",
      "                                                                 \n",
      " time_distributed_7 (TimeDis  (None, 5, 1)             21        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 10,261\n",
      "Trainable params: 10,261\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "8/8 [==============================] - 4s 5ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Window Size 5, Data Length 250\n",
    "\n",
    "Slice_Window(5)\n",
    "Build_Model()\n",
    "Train(0)\n",
    "Output(1,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_file = open(\"D:\\\\Denoising\\\\Autoencoder\\\\LSTM_SAE\\\\gold_recent.txt\", \"a\")\n",
    "for i in range(len(mean_list2)):\n",
    "    save_file.write(str(mean_list2[i])+\"\\n\")\n",
    "save_file.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.5 ('base': conda)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "616f588775ebd5684723f0fc88bdf016eafcafb45847b72d0199a5bd69bf316d"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
